Factors affecting smart working: evidence from Australia

Author:

Malik AshishORCID,Rosenberger Philip J.,Fitzgerald Martin,Houlcroft Louise

Abstract

Purpose The purpose of this paper is to analyse data from the New South Wales Government’s Pilot Programme of establishing Smart Work Hubs (SWHs) for enabling teleworking in two busy commuter corridors. The paper analyses the relationships between various firm, job and personal factors and the perceived value, attitudes and expected usage by users of the SWHs. Design/methodology/approach Employing a cross-sectional survey design, the characteristics, values and attitudes of 117 SWH users were analysed using partial least squares (PLS) method of structural equation modelling (SEM). SEM-PLS approach is considered appropriate especially in prediction-based studies and to estimate an endogenous target construct. Findings Results revealed that perceived SWH value significantly influenced attitude towards the SWH, which then had a significant influence on SWH usage intentions, with personal, job and firm factors also playing a role. Further analysis revealed four variables that significantly influenced the perception of family-value benefits (age, income, hub commute distance, work commute distance), however, there were none that significantly influenced the perception of work benefits. Research limitations/implications The small sample size limits statistical inferences and generalisations to be drawn. Further, this paper also discusses how the low and uneven uptake of teleworking at a SWH raises several managerial and policy implications needing attention. Originality/value To the best of the authors’ knowledge, this is the first empirical study analysing the expected values, attitudes and usage intentions of teleworkers in a SWH context. This study adds to the emerging body of human resource management studies on an outward-looking approach. The novel context will provide a useful base for subsequent studies.

Publisher

Emerald

Subject

Management of Technology and Innovation,Organizational Behavior and Human Resource Management,Strategy and Management

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